modDate date of last modification keywords keywords title title creationDate date of creation creator creating application subject subject Note: Apart from these standard metadata, PDF documents starting that text may not appear in any particular reading order. This is the responsibility of the PDF creator (software or a human). For example, page headers may have been inserted in a separate step – after --------------------- pprint(doc.metadata) {'author': 'PRINCE', 'creationDate': "D:2010102417034406'-30'", 'creator': 'PrimoPDF http://www.primopdf.com/', 'encryption': None, 'format': 'PDF 1.4', 'keywords': '', 'modDate':

earlier version of MuPDF (v1.2, called fitz-python then), it was until only mid May 2015, that its creator and a few co-workers decided to elevate it to support current releases of MuPDF (first v1.7a, up modDate date of last modification keywords keywords title title creationDate date of creation creator creating application subject subject Note Apart from these standard metadata, PDF documents of keywords, creator, producer, creationDate, modDate. All item values are strings or None. Except format and encryption, the key names correspond in an obvious way to the PDF keys /Creator, /Producer

with peewee. Examples will use the following models: import peewee class Blog(peewee.Model): creator = peewee.CharField() name = peewee.CharField() class Entry(peewee.Model): blog = peewee. CustomModel(peewee.Model): class Meta: database = custom_db class Blog(CustomModel): creator = peewee.CharField() name = peewee.TextField() class Entry(CustomModel): # etc, etc Using our MySQL database""" class Meta: database = psql_db class Blog(PostgresqlModel): creator = peewee.CharField() # etc, etc Using with MySQL Point models at an instance of MySQLDatabase

with peewee. Examples will use the following models: import peewee class Blog(peewee.Model): creator = peewee.CharField() name = peewee.CharField() class Entry(peewee.Model): blog = peewee.ForeignKeyField(Blog) db’) class CustomModel(peewee.Model): class Meta: database = custom_db class Blog(CustomModel): creator = peewee.CharField() name = peewee.TextField() class Entry(CustomModel): # etc, etc Using with that will use our MySQL database""" class Meta: database = psql_db class Blog(PostgresqlModel): creator = peewee.CharField() # etc, etc 1.3. Peewee Cookbook 5 peewee Documentation, Release 0.9.7 Using

with peewee. Examples will use the following models: import peewee class Blog(peewee.Model): creator = peewee.CharField() name = peewee.CharField() class Entry(peewee.Model): blog = peewee. CustomModel(peewee.Model): class Meta: database = custom_db class Blog(CustomModel): creator = peewee.CharField() name = peewee.TextField() class Entry(CustomModel): # etc, etc Note Postgresql database""" class Meta: database = psql_db class Blog(PostgresqlModel): creator = peewee.CharField() # etc, etc Using with MySQL Point models at an instance of MySQLDatabase

Chapter 1. Contents: peewee Documentation, Release 1.0.0 import peewee class Blog(peewee.Model): creator = peewee.CharField() name = peewee.CharField() class Entry(peewee.Model): blog = peewee.ForeignKeyField(Blog) custom_db class Blog(CustomModel): 1.3. Peewee Cookbook 5 peewee Documentation, Release 1.0.0 creator = peewee.CharField() name = peewee.TextField() class Entry(CustomModel): # etc, etc Note: Remember will use our Postgresql database""" class Meta: database = psql_db class Blog(PostgresqlModel): creator = peewee.CharField() # etc, etc Using with MySQL Point models at an instance of MySQLDatabase.

. show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In addition to creating ordinary charts, Bokeh can also build the Bokeh applications by starting the pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [http://pywebio-charts.demo.wangweimin.site/?app=pyecharts] plotly plotly.py [https://github.com/plotly/plotly.py] is full_html=False) pywebio.output.put_html(html) See related demo on plotly demo [http://pywebio-charts.demo.wangweimin.site/?app=plotly] pyg2plot pyg2plot [https://github.com/hustcc/PyG2Plot] is a python

. show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In addition to creating ordinary charts, Bokeh can also build the Bokeh applications by starting the pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [http://pywebio-charts.demo.wangweimin.site/?app=pyecharts] plotly plotly.py [https://github.com/plotly/plotly.py] is full_html=False) pywebio.output.put_html(html) See related demo on plotly demo [http://pywebio-charts.demo.wangweimin.site/?app=plotly] pyg2plot pyg2plot [https://github.com/hustcc/PyG2Plot] is a python

. show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In addition to creating ordinary charts, Bokeh can also build the Bokeh applications by starting the pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [http://pywebio-charts.demo.wangweimin.site/?app=pyecharts] plotly plotly.py [https://github.com/plotly/plotly.py] is full_html=False) pywebio.output.put_html(html) See related demo on plotly demo [http://pywebio-charts.demo.wangweimin.site/?app=plotly] pyg2plot pyg2plot [https://github.com/hustcc/PyG2Plot] is a python

. show(fig) See related demo on bokeh demo [http://pywebio-charts.demo.wangweimin.site/?app=bokeh] In addition to creating ordinary charts, Bokeh can also build the Bokeh applications by starting the pywebio.output.put_html(chart.render_notebook()) See related demo on pyecharts demo [http://pywebio-charts.demo.wangweimin.site/?app=pyecharts] plotly plotly.py [https://github.com/plotly/plotly.py] is full_html=False) pywebio.output.put_html(html) See related demo on plotly demo [http://pywebio-charts.demo.wangweimin.site/?app=plotly] pyg2plot pyg2plot [https://github.com/hustcc/PyG2Plot] is a python